Business

Master in Data Analysis and Analytics

Course Overview

  • Course Title: Master in Data Analysis and Analytics
  • Instructor: Arun Singhal
  • Target Audience:
    • Beginners in Data Analysis
    • Professionals looking to enhance their skills
    • Students interested in Data Analytics
  • Prerequisites:
    • Basic understanding of data concepts
    • Interest in Data Analysis and Analytics

Curriculum Highlights

  • Key Topics Covered:
    • What is Data Analysis & Analytics
    • Difference between Data Analysis & Analytics, Business Analytics, and Data Science
    • Case Studies of Excellence in Data Analysis & Analytics
    • Building excellence in Data Analysis & Analytics
    • Ensuring Data Quality & Integrity
    • Centralizing Data with a Modern Infrastructure
    • Different Types of Analytics
    • Right Tools & Technologies
    • Understanding Business Needs & KPIs
    • Data-Driven Decision-Making Culture
    • Automating Reporting and Dashboards
    • Scalable Cloud & AI Solutions
    • Strong Visualization Skill
    • Translating Data into Actionable Insights
    • Ensuring Data Privacy & Compliance
    • Preventing Bias & Ensuring Transparency
  • Key Skills Learned:
    • Data Quality & Integrity
    • Data Centralization
    • Analytics Application
    • Tool & Technology Selection
    • Business Needs & KPIs Understanding
    • Data-Driven Decision Making
    • Reporting & Dashboard Automation
    • Cloud & AI Solutions
    • Data Visualization
    • Actionable Insights Translation
    • Data Privacy & Compliance
    • Bias Prevention & Transparency

Course Format

  • Duration:
    • 5.5 hours on-demand video
  • Format:
    • Self-paced online course
  • Resources:
    • 38 downloadable resources
    • Access on mobile and TV
    • Certificate of completion

Special Offer (If Applicable)

  • Limited Time Coupon Code: N/A
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